{"id":"W2348087437","doi":"","title":"Characteristics of New Waxy Maize Variety Zhenuoyu No.3 and Its High-yielding Cultural Techniques","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Zea mays; Agronomy; Biology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007298365,0.00009154816,0.0002425434,0.00003602136,0.00004981899,0.000005201277,0.00004486361,0.00007920527,0.0001366741],"category_scores_gemma":[0.0006740284,0.00006238148,0.0000362975,0.00007992223,0.00006668631,0.00005195263,0.00004090047,0.0001498218,0.00003878285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002544375,"about_ca_system_score_gemma":0.000107476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504161,"about_ca_topic_score_gemma":9.893275e-7,"domain_scores_codex":[0.9991989,0.00001530132,0.0001623755,0.0001349565,0.0002883962,0.0002001454],"domain_scores_gemma":[0.9993482,0.00005290781,0.00004434682,0.0001135912,0.0001215957,0.0003193827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003104273,0.001390523,0.4981785,0.001515193,0.001080868,0.002517989,0.003815345,3.601019e-8,0.38991,0.002369534,0.02680658,0.06931123],"study_design_scores_gemma":[0.00229263,0.0009280905,0.9275811,0.0002896308,0.00008390957,0.0001445822,0.00003332832,0.00007134824,0.06305704,0.0001784059,0.005207107,0.0001327983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966904,0.0002089944,0.00009487168,0.0005089578,0.00005882479,0.0002491593,0.00001260828,0.000049954,0.002126252],"genre_scores_gemma":[0.9905087,0.00117893,0.00285283,0.0001648223,0.000190492,0.000006113398,0.00003855864,0.000009382299,0.00505018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294026,"threshold_uncertainty_score":0.2543843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121380806776257,"score_gpt":0.3188468287132231,"score_spread":0.2776330206454605,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}